{"id":752,"date":"2017-07-05T14:19:11","date_gmt":"2017-07-05T21:19:11","guid":{"rendered":"https:\/\/faculty.engineering.asu.edu\/ankit\/?page_id=752"},"modified":"2023-10-10T00:58:00","modified_gmt":"2023-10-10T07:58:00","slug":"home-page","status":"publish","type":"page","link":"https:\/\/faculty.engineering.asu.edu\/ankit\/","title":{"rendered":"Home Page"},"content":{"rendered":"

[et_pb_section fb_built=”1″ fullwidth=”on” admin_label=”section” _builder_version=”4.16″ global_colors_info=”{}”][et_pb_fullwidth_slider _builder_version=”4.16″ background_position=”top_left” custom_padding=”|||” border_color_all=”rgba(51,51,51,0)” global_colors_info=”{}” button_text_size__hover_enabled=”off” button_one_text_size__hover_enabled=”off” button_two_text_size__hover_enabled=”off” button_text_color__hover_enabled=”off” button_one_text_color__hover_enabled=”off” button_two_text_color__hover_enabled=”off” button_border_width__hover_enabled=”off” button_one_border_width__hover_enabled=”off” button_two_border_width__hover_enabled=”off” button_border_color__hover_enabled=”off” button_one_border_color__hover_enabled=”off” button_two_border_color__hover_enabled=”off” button_border_radius__hover_enabled=”off” button_one_border_radius__hover_enabled=”off” button_two_border_radius__hover_enabled=”off” button_letter_spacing__hover_enabled=”off” button_one_letter_spacing__hover_enabled=”off” button_two_letter_spacing__hover_enabled=”off” button_bg_color__hover_enabled=”off” button_one_bg_color__hover_enabled=”off” button_two_bg_color__hover_enabled=”off”][et_pb_slide use_bg_overlay=”off” use_text_overlay=”on” text_overlay_color=”rgba(0,0,0,0)” admin_title=”Slide 1″ text_border_radius=”0px” _builder_version=”4.16″ background_image=”https:\/\/faculty.engineering.asu.edu\/ankit\/wp-content\/uploads\/sites\/128\/2018\/12\/film-1.gif” parallax=”on” background_video_width=”2253″ background_video_height=”957″ button_on_hover=”on” global_colors_info=”{}” button_text_size__hover_enabled=”off” button_one_text_size__hover_enabled=”off” button_two_text_size__hover_enabled=”off” button_text_color__hover_enabled=”off” button_one_text_color__hover_enabled=”off” button_two_text_color__hover_enabled=”off” button_border_width__hover_enabled=”off” button_one_border_width__hover_enabled=”off” button_two_border_width__hover_enabled=”off” button_border_color__hover_enabled=”off” button_one_border_color__hover_enabled=”off” button_two_border_color__hover_enabled=”off” button_border_radius__hover_enabled=”off” button_one_border_radius__hover_enabled=”off” button_two_border_radius__hover_enabled=”off” button_letter_spacing__hover_enabled=”off” button_one_letter_spacing__hover_enabled=”off” button_two_letter_spacing__hover_enabled=”off” button_bg_color__hover_enabled=”off” button_one_bg_color__hover_enabled=”off” button_two_bg_color__hover_enabled=”off” sticky_transition=”on”]<\/p>\n

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WELCOME TO 4D ICE<\/strong><\/h2>\n

Laboratory for 4D Interface Control & Engineering<\/strong><\/h3>\n

Enabling controllability in microstructure processing \u2026<\/strong><\/h4>\n<\/div>\n<\/div>\n<\/div>\n<\/div>\n
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[\/et_pb_slide][\/et_pb_fullwidth_slider][\/et_pb_section][et_pb_section fb_built=”1″ admin_label=”Gold Section” module_id=”vision” _builder_version=”4.16″ background_color=”#d4d4d4″ background_image=”https:\/\/faculty.engineering.asu.edu\/ankit\/wp-content\/uploads\/sites\/128\/2018\/12\/bg2.png” parallax=”on” parallax_method=”off” custom_css_main_element=”background-color:#222222;” transparent_background=”off” global_colors_info=”{}”][et_pb_row column_structure=”2_3,1_3″ admin_label=”row” module_class=” et_pb_row_fullwidth” _builder_version=”4.16″ width=”89%” width_tablet=”80%” width_phone=”” width_last_edited=”on|desktop” max_width=”89%” max_width_tablet=”80%” max_width_phone=”” max_width_last_edited=”on|desktop” custom_padding=”0|0px|25.59375px|0px|false|false” make_fullwidth=”on” global_colors_info=”{}”][et_pb_column type=”2_3″ _builder_version=”4.16″ background_position=”top_left” custom_padding=”|||” global_colors_info=”{}” custom_padding__hover=”|||”][et_pb_text admin_label=”Vision” _builder_version=”4.21.0″ use_border_color=”off” border_color=”#ffffff” border_style=”solid” global_colors_info=”{}”]<\/p>\n

Our Vision<\/h1>\n

Recent advances in high-throughput experimental and computational techniques have led to an accelerated discovery of new materials. On the contrary, the development of processing routes required for sustainable manufacturing of advanced materials is lagging behind.<\/p>\n

At 4D ICE, we aim to fill this gap by developing computational tools for rapid and systematic discovery of time-, energy- and cost-efficient processing routes for the synthesis of materials with tailored functionality. Our work, which lies at the triple-point of phase-field modeling, machine learning, and high-performance computing aims at enabling controllability in advanced materials processing.<\/p>\n

We welcome collaborations with other computational and experimental researchers in universities, national labs, and industries.<\/p>\n

Sincerely,<\/p>\n

Kumar Ankit, Ph.D.
Associate Professor of Materials Science and Engineering
School for Engineering of Matter, Transport and Energy<\/div>\n
Arizona State University, Tempe<\/div>\n

[\/et_pb_text][\/et_pb_column][et_pb_column type=”1_3″ _builder_version=”4.16″ background_position=”top_left” custom_padding=”|||” global_colors_info=”{}” custom_padding__hover=”|||”][et_pb_text admin_label=”Teaching” _builder_version=”4.21.0″ use_border_color=”off” border_color=”#ffffff” border_style=”solid” global_colors_info=”{}”]<\/p>\n

MateriAlZ Seminar Series<\/h2>\n
We are excited to announce a new remote lecture series in the broad field of Materials Science and Engineering (MSE) jointly organized by the Arizona State University and the University of Arizona.<\/span><\/div>\n

[\/et_pb_text][et_pb_button button_url=”https:\/\/material-az.org\/” url_new_window=”on” button_text=”Learn More” admin_label=”Learn More Button” _builder_version=”4.16″ custom_button=”on” button_text_color=”#000000″ button_bg_color=”#fec627″ button_font=”||||||||” global_colors_info=”{}” button_text_size__hover_enabled=”off” button_one_text_size__hover_enabled=”off” button_two_text_size__hover_enabled=”off” button_text_color__hover_enabled=”off” button_one_text_color__hover_enabled=”off” button_two_text_color__hover_enabled=”off” button_border_width__hover_enabled=”off” button_one_border_width__hover_enabled=”off” button_two_border_width__hover_enabled=”off” button_border_color__hover_enabled=”off” button_one_border_color__hover_enabled=”off” button_two_border_color__hover_enabled=”off” button_border_radius__hover_enabled=”off” button_one_border_radius__hover_enabled=”off” button_two_border_radius__hover_enabled=”off” button_letter_spacing__hover_enabled=”off” button_one_letter_spacing__hover_enabled=”off” button_two_letter_spacing__hover_enabled=”off” button_bg_color__hover_enabled=”off” button_one_bg_color__hover_enabled=”off” button_two_bg_color__hover_enabled=”off”][\/et_pb_button][et_pb_text admin_label=”Teaching” _builder_version=”4.16″ use_border_color=”off” border_color=”#ffffff” border_style=”solid” global_colors_info=”{}”]<\/p>\n

Thanks to our sponsors<\/h2>\n
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[\/et_pb_text][\/et_pb_column][\/et_pb_row][\/et_pb_section][et_pb_section fb_built=”1″ admin_label=”Gold Section” module_id=”vision” _builder_version=”4.16″ background_color=”RGBA(0,0,0,0)” background_image=”https:\/\/faculty.engineering.asu.edu\/ankit\/wp-content\/uploads\/sites\/128\/2018\/12\/bg4.001-1024×691.png” parallax=”on” parallax_method=”off” custom_css_main_element=”background-color:#222222;” transparent_background=”off” global_colors_info=”{}”][et_pb_row _builder_version=”4.16″ _module_preset=”default” global_colors_info=”{}”][et_pb_column type=”4_4″ _builder_version=”4.16″ _module_preset=”default” global_colors_info=”{}”][et_pb_text admin_label=”Vision” _builder_version=”4.21.0″ use_border_color=”off” border_color=”#ffffff” border_style=”solid” global_colors_info=”{}”]<\/p>\n

\u00a0 GALLERY<\/span><\/strong><\/h2>\n

[\/et_pb_text][et_pb_gallery gallery_ids=”1819,1650,1820,1170″ _builder_version=”4.16″ _module_preset=”default” global_colors_info=”{}”][\/et_pb_gallery][\/et_pb_column][\/et_pb_row][\/et_pb_section][et_pb_section fb_built=”1″ admin_label=”Gold Section” module_id=”news” _builder_version=”4.16″ background_color=”#d4d4d4″ background_image=”https:\/\/faculty.engineering.asu.edu\/ankit\/wp-content\/uploads\/sites\/128\/2018\/12\/unspecified.png” parallax=”on” parallax_method=”off” custom_css_main_element=”background-color:#222222;” transparent_background=”off” global_colors_info=”{}”][et_pb_row admin_label=”row” module_id=”projects” module_class=” et_pb_row_fullwidth” _builder_version=”4.16″ width=”89%” width_tablet=”80%” width_phone=”” width_last_edited=”on|desktop” max_width=”89%” max_width_tablet=”80%” max_width_phone=”” max_width_last_edited=”on|desktop” custom_padding=”0|0px|25.59375px|0px|false|false” make_fullwidth=”on” global_colors_info=”{}”][et_pb_column type=”4_4″ _builder_version=”4.16″ background_position=”top_left” custom_padding=”|||” global_colors_info=”{}” custom_padding__hover=”|||”][et_pb_text admin_label=”Vision” _builder_version=”4.21.0″ vertical_offset_tablet=”0″ horizontal_offset_tablet=”0″ z_index_tablet=”0″ text_text_shadow_horizontal_length_tablet=”0px” text_text_shadow_vertical_length_tablet=”0px” text_text_shadow_blur_strength_tablet=”1px” link_text_shadow_horizontal_length_tablet=”0px” link_text_shadow_vertical_length_tablet=”0px” link_text_shadow_blur_strength_tablet=”1px” ul_text_shadow_horizontal_length_tablet=”0px” ul_text_shadow_vertical_length_tablet=”0px” ul_text_shadow_blur_strength_tablet=”1px” ol_text_shadow_horizontal_length_tablet=”0px” ol_text_shadow_vertical_length_tablet=”0px” ol_text_shadow_blur_strength_tablet=”1px” quote_text_shadow_horizontal_length_tablet=”0px” quote_text_shadow_vertical_length_tablet=”0px” quote_text_shadow_blur_strength_tablet=”1px” header_text_shadow_horizontal_length_tablet=”0px” header_text_shadow_vertical_length_tablet=”0px” header_text_shadow_blur_strength_tablet=”1px” header_2_text_shadow_horizontal_length_tablet=”0px” header_2_text_shadow_vertical_length_tablet=”0px” header_2_text_shadow_blur_strength_tablet=”1px” header_3_text_shadow_horizontal_length_tablet=”0px” header_3_text_shadow_vertical_length_tablet=”0px” header_3_text_shadow_blur_strength_tablet=”1px” header_4_text_shadow_horizontal_length_tablet=”0px” header_4_text_shadow_vertical_length_tablet=”0px” header_4_text_shadow_blur_strength_tablet=”1px” header_5_text_shadow_horizontal_length_tablet=”0px” header_5_text_shadow_vertical_length_tablet=”0px” header_5_text_shadow_blur_strength_tablet=”1px” header_6_text_shadow_horizontal_length_tablet=”0px” header_6_text_shadow_vertical_length_tablet=”0px” header_6_text_shadow_blur_strength_tablet=”1px” box_shadow_horizontal_tablet=”0px” box_shadow_vertical_tablet=”0px” box_shadow_blur_tablet=”40px” box_shadow_spread_tablet=”0px” use_border_color=”off” border_color=”#ffffff” border_style=”solid” global_colors_info=”{}”]<\/p>\n

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NEWS<\/span><\/h2>\n

October 3, 2023: <\/strong>Big News! Dr. Ankit is a co-PI on the newly announced $ 5 million U.S. Department of Energy (DOE) ‘Earthshots’ grant which will develop a cutting-edge technology to make steel production carbon-free, paving the way for a more sustainable future. More on ASU News<\/a>.<\/span><\/span><\/span><\/strong><\/span><\/p>\n

June 22, 2023<\/strong>: In our recent work published in Computational Materials Science, we demonstrate how Neural Networks can be employed to emulate microstructural evolution.
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Link to the manuscript: https:\/\/doi.org\/10.1016\/j.commatsci.2023.112330<\/a><\/span><\/p>\n

February 2, 2023<\/strong>: Machine Learning algorithms employed to emulate defect formation in interconnects. Article published in the Journal of Electronic Materials.
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Link to the manuscript: https:\/\/doi.org\/10.1007\/s11664-023-10237-9<\/a><\/span><\/p>\n

January 11, 2023<\/strong>: Phase-field (PF) models are one of the most powerful tools to simulate microstructural evolution in metallic materials, polymers, and ceramics. However, for accuracy, existing PF approaches rely on rigorous mathematical model development, sophisticated numerical schemes, and high-performance computing. Our recent work published in MRS Bulletin demonstrates how a Machine Learning algorithm, that is able to circumvent the above-noted challenges, can emulate materials\u2019 microstructure evolution. Financial support from the National Science Foundation (NSF)<\/a> is gratefully acknowledged.<\/span><\/p>\n

Link to the manuscript: https:\/\/doi.org\/10.1557\/s43577-022-00443-x<\/a><\/span><\/p>\n<\/div>\n

[\/et_pb_text][et_pb_button button_url=”https:\/\/faculty.engineering.asu.edu\/ankit\/older_news\/%20″ button_text=”Older News” button_alignment=”center” _builder_version=”4.16″ custom_button=”on” button_text_color=”#000000″ button_bg_color=”#fec627″ button_font=”||||||||” global_colors_info=”{}”][\/et_pb_button][\/et_pb_column][\/et_pb_row][\/et_pb_section][et_pb_section fb_built=”1″ admin_label=”Gold Section” module_id=”projects” _builder_version=”4.21.0″ background_color=”#d4d4d4″ custom_css_main_element=”background-color:#222222;” transparent_background=”off” global_colors_info=”{}”][et_pb_row admin_label=”row” module_class=” et_pb_row_fullwidth” _builder_version=”4.16″ width=”89%” width_tablet=”80%” width_phone=”” width_last_edited=”on|desktop” max_width=”89%” max_width_tablet=”80%” max_width_phone=”” max_width_last_edited=”on|desktop” custom_padding=”0|0px|25.59375px|0px|false|false” make_fullwidth=”on” global_colors_info=”{}”][et_pb_column type=”4_4″ _builder_version=”4.16″ background_position=”top_left” custom_padding=”|||” global_colors_info=”{}” custom_padding__hover=”|||”][et_pb_text admin_label=”Vision” _builder_version=”4.21.0″ use_border_color=”off” border_color=”#ffffff” border_style=”solid” global_colors_info=”{}”]<\/p>\n

\u00a0 \u00a0CURRENT PROJECTS<\/span>\u00a0<\/strong><\/h2>\n

[\/et_pb_text][et_pb_text admin_label=”Vision” _builder_version=”4.21.0″ use_border_color=”off” border_color=”#ffffff” border_style=”solid” global_colors_info=”{}”]<\/p>\n

Capillary-mediated solid-liquid interface energy fields<\/strong><\/h4>\n

\"\"<\/a>Our recent theoretical analyses of the Isothermal Dendritic Growth Experiment (IDGE) archived in the NASA PSI system reveals the presence of a 4th<\/sup>-order interfacial scalar field, termed the bias field, that works in the background and dynamically couples with interface normal motion. Solid-liquid interfaces support such scalar perturbation fields by adding or withdrawing small amounts of thermal energy. However, our current understanding of the factors that govern the intensity of capillary-mediated fields is limited to pure melts and to two spatial dimensions. Moreover, any quantitative understanding of the intensity threshold beyond which such capillary-mediated fields can potentially modulate pattern formation is all together, absent.<\/p>\n

At 4D-ICE, motivated by our recent detection of perturbation fields on grain boundary grooves (GBGs), which also appear to explain the anomaly reported in the IDGE data, we adopt the phase-field modeling approach to explore this fascinating autogenous mechanism of pattern formation. It is anticipated that the technological developments borne out of this project will enable us to develop novel processing methods to improve microstructure-level control in alloy castings.<\/p>\n

This project is currently funded by NASA and the College of Engineering at ASU.<\/p>\n

[\/et_pb_text][et_pb_text admin_label=”Vision” _builder_version=”4.16″ use_border_color=”off” border_color=”#ffffff” border_style=”solid” global_colors_info=”{}”]<\/p>\n

Electromigration-induced defects in electronic materials<\/strong><\/p>\n

\"\"<\/a>With a continuous downscaling of very large-scale integrated circuits, metallic conductors or interconnects are subject to increasingly high current densities. However, a sufficiently large electric current density can impart momentum to the metal ions triggering atomic diffusion, known as electromigration (EM), leading to the generation of microdefects, for e.g. voids and hillocks and ultimately causing circuit failure. Current safety measures adopted in the electronics industry to mitigate EM-induced damage are unreliable as they are typically framed based on limited insights provided by 2D imaging of the microstructural degradation process.<\/p>\n

The aim of this research project is to devise an integrated experimental and computational approach to achieve a fundamental understanding of the underlying mechanisms that accompany microstructural degradation in Sn- and In-based, Pb-free interconnects and solders. At 4DICE, we adopt the phase-field modeling approach to predict the onset and growth of EM-mediated defect patterns in multiphase, multicomponent electronic materials. The new knowledge gained from this work will enhance our capabilities to accurately predict the onset of EM damage and at the same time enable us to devise strategies for controlling EM-mediated failure of soldered components and interconnects, efficiently.<\/p>\n

This project is currently funded by NSF and the College of Engineering at ASU.<\/p>\n

[\/et_pb_text][et_pb_text admin_label=”Vision” _builder_version=”4.16″ use_border_color=”off” border_color=”#ffffff” border_style=”solid” global_colors_info=”{}”]<\/p>\n

Nanostructural self-assembly in vapor-deposited films<\/strong><\/p>\n

\"\"<\/a>Nanostructured thin films are used in a wide range of applications due to their superior structural and functional properties, both of which are dependent on their morphology. The mechanisms by which morphological evolution occurs in thin films has been a perennial topic of fundamental interest, however, recent prospects of varying deposition conditions to fabricate films with tailored functionality have leveraged their technological relevance. Experiments and TEM characterization have demonstrated a rich variety of self-organized nanoscale concentration modulations in physical vapor deposited films of phase separating alloys. However, a comprehensive model capable of predicting an entire spectrum of such self-organized nanostructures as a function of material and processing parameters is yet to be formulated.<\/p>\n

At 4D-ICE, we adopt a 3D phase-field approach to numerically investigate the role of deposition rates and separation kinetics, on the morphological self-structuring in vapor-deposited alloy films. By analyzing and predicting the nanoscale self-organization of vapor deposited binary alloy films through phase-field modeling, we will lay the foundation for synthesizing multi-component metallic films with enhanced properties.<\/p>\n

This project is currently funded by the College of Engineering at ASU.<\/p>\n

[\/et_pb_text][\/et_pb_column][\/et_pb_row][\/et_pb_section][et_pb_section fb_built=”1″ admin_label=”section” module_id=”team” _builder_version=”4.16″ parallax=”on” parallax_method=”off” custom_padding=”24px|0px|54px|0px” global_colors_info=”{}”][et_pb_row _builder_version=”4.16″ background_size=”initial” background_position=”top_left” background_repeat=”repeat” global_colors_info=”{}”][et_pb_column type=”4_4″ _builder_version=”4.16″ custom_padding=”|||” global_colors_info=”{}” custom_padding__hover=”|||”][et_pb_text _builder_version=”4.21.0″ global_colors_info=”{}”]<\/p>\n

TEAM<\/span><\/h2>\n

[\/et_pb_text][\/et_pb_column][\/et_pb_row][et_pb_row column_structure=”1_3,1_3,1_3″ admin_label=”row” module_class=” et_pb_row_fullwidth” _builder_version=”4.21.0″ background_size=”initial” background_position=”top_left” background_repeat=”repeat” width=”89%” width_tablet=”80%” width_phone=”” width_last_edited=”on|desktop” max_width=”89%” max_width_tablet=”80%” max_width_phone=”” max_width_last_edited=”on|desktop” module_alignment=”center” make_fullwidth=”on” global_colors_info=”{}”][et_pb_column type=”1_3″ _builder_version=”4.16″ custom_padding=”|||” custom_css_before=”||” custom_css_main_element=”-webkit-box-shadow: 0 19px 38px rgba(0,0,0,0.15), 0 15px 12px rgba(0,0,0,0.10);||-moz-box-shadow: 0 19px 38px rgba(0,0,0,0.15), 0 15px 12px rgba(0,0,0,0.10);||box-shadow: 0 19px 38px rgba(0,0,0,0.15), 0 15px 12px rgba(0,0,0,0.10);||border-radius: 6px;||” global_colors_info=”{}” custom_padding__hover=”|||”][et_pb_team_member name=” Kumar Ankit, Ph.D.” position=”Principal Investigator ” 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Kumar Ankit, Ph.D.<\/span><\/strong><\/p>\n

Principal Investigator<\/strong><\/span><\/p>\n

\"ORCIDorcid.org\/0000-0001-5283-5139<\/a><\/div>\n
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Kumar Ankit is an Associate Professor of Materials Science and Engineering (MSE) in the School for Engineering of Matter, Transport and Energy at the Arizona State University.\u00a0He received an integrated\u00a0dual bachelor’s\/master’s degree in metallurgical engineering from the Indian Institute of Technology (BHU)\u00a0in 2010 and obtained a doctorate\u00a0(2015) in mechanical engineering from the Karlsruhe Institute of Technology (KIT), Germany, where he graduated summa cum laude. Following graduation, he was appointed as Group Leader at KIT where his group specialized in Quantitative Phase-field Modeling. Prior to his appointment at ASU, he was a postdoctoral research associate at Texas A&M University where he worked in the area of modeling and simulations of pattern formation in vapor-deposited films.<\/p>\n

Dr. Ankit is a recipient of the 2018 Robert Cahn prize which is jointly awarded by Springer Nature and the Journal of Materials Science, the 2016 German Research Foundation’s (DFG) Young Investigator award, and the 2022 National Science Foundation’s (NSF) CAREER award. In 2020, he, along with his collaborators at ASU and the University of Arizona – Tucson, co-founded the MateriAlZ Seminar series to promote student engagement in MSE through interactive sessions, increase the nationwide and international visibility of the Arizona universities and provide a platform for active discussions in different areas of MSE.<\/p>\n

Dr. Ankit’s group, 4D ICE, specializes in the development and application of mesoscopic modeling approaches and their integration with continuum approaches for both fundamental and applied research in microstructure science and engineering. His group is currently interested in deciphering computational pathways to optimally design microstructure processing routes. Target areas include solidification, solid-state transformations and grain coarsening in multicomponent alloys and geomaterials, electromigration-induced damage, and self-organization in polymers and vapor-deposited films.<\/p>\n<\/div>\n


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Education<\/strong><\/span><\/p>\n