# Fileset

[Abstracts_Krishnan.pdf](https://mdr.nims.go.jp/filesets/252ff106-187d-43b3-ba45-04ebd8eefabd/download)

## Creator

N. M. Anoop Krishnan

## Rights

[Creative Commons BY Attribution 4.0 International](https://creativecommons.org/licenses/by/4.0/)

## Other metadata

[From Random Networks to AI-Driven Glass Design](https://mdr.nims.go.jp/datasets/bd120803-fac3-4bbd-92d1-29ae89237870)

## Fulltext

From Random Networks to AI-Driven Glass Design N. M. Anoop Krishnan11Department of Civil Engineering, Indian Institute of Technology Delhi, Hauz Khas, New Delhi, India, 110016. Corresponding Author e-mail: krishnan@iitd.ac.in Artificial intelligence is transforming glass science from empirical trial-and-error approaches to predictive design tools, enabling unprecedented control over structure-property relationships. This talk presents how modern AI-driven methodologies revolutionize glass structure understanding, simulation, and discovery across experimental, computational, and theoretical domains. We demonstrate how computational modeling provides critical insights into glass structure and enables tailored design of novel materials. Through systematic examples spanning oxide, chalcogenide, and specialty glasses, we will discuss how physics-informed machine learning achieves remarkable accuracy in predicting mechanical, optical, and transport properties while enabling rational design of glasses with targeted functionalities. Our framework integrates several cutting-edge approaches: reinforcement learning coupled with differentiable simulations to optimize glass structures and directly predict properties from atomic configurations, comprehensive benchmarking of universal interatomic potentials revealing critical limitations and improvement pathways, and materials-domain language models that extract decades of accumulated glass science knowledge from literature. The integration of topological descriptors, network connectivity analysis, and deep learning provides unprecedented insights into glass structure, capturing both short-range order and medium-range correlations that govern macroscopic behavior. This comprehensive approach accelerates glass discovery from decades to years or even months, enabling rational design of materials with tailored properties for applications ranging from nuclear waste immobilization to biomedical packaging, fundamentally transforming how we understand and design glassy materials. Zacharisen Award talk アブストラクトブック_Oral表紙 アブストラクトブック_転送用 PNCS17_表紙 スライド 2 バインダー2 Abstracts_oral_0805 Abstracts_oral_0805 アブストラクト本_日程 Abstracts_oral_0805 アブストラクトブック_Oral_0805 アブストラクトブック_Oral_250729 アブストラクトブック_Oral_250729 アブストラクトブック_Oral_250729 アブストブックOral_250728 Oral目次 アブストラクトブック_Oral_250728 アブストラクトブック_Oral_250728 アブストラクトブック_oral C000024 C000104 アブストラクトブック アブストラクトブック アブストラクトブック アブストラクトブック C000160 C000185 C000186 アブストラクト_Oral セッション１ C000112 C000187 C000032 C000059 C000099 C000056 C000031 C000166 セッション２ C000128 C000004 C000132 C000102 C000064 C000167 C000029 C000005 C000041 C000098 C000143 C000071 セッション３ C000118 C000161 C000158 C000096 セッション４ C000110 C000026 C000157 C000039 C000085 C000072 C000019 C000122 セッション５ C000100 C000154 C000106 C000093 C000095 C000131 C000055 C000003 C000136 C000028 セッション６ セッション７ C000138 C000077 C000076 C000069 C000155 C000050 C000052 C000115 C000044 C000129 セッション８ C000105 C000149 C000058 C000007 C000009 C000006 C000030 C000107 C000159 C000018 C000141 C000145 C000156 C000168 C000140 C000120 C000103 C000068 C000123 C000172 C000151 セッション９ C000034 C000144 C000135 C000088 C000087 C000080 C000152 C000094 C000027 C000117 C000061 バインダー10 C000111 C000153 C000022 C000047 C000124 C000054 C000116 C000092 C000184 C000020 C000078 C000046 C000045 C000051 C000043 セッション１１ C000164 C000114 C000040 C000113 C000025 C000053 C000057 C000074 C000013 セッション１2 C000142 C000014 C000035 C000173 C000182 C000188 C000012 C000163 C000060 C000042 C000066 C000180 Abstracts_poster_NIMS.pdf アブストラクトブック_poster表紙 アブストラクトブック_転送用 PNCS17_表紙 スライド 2 アブストラクトブック_poster_250728 アブストラクトブック_poster_250728 アブストラクトブック_poster アブストラクトブック_poster アブストラクトブック_poster アブストラクトブック アブストラクトブック アブストラクトブック アブストラクトブック アブストラクト_Poster ポスターP01-P29 C000177 C000126 C000137 C000084 C000070 C000125 C000073 C000169 C000130 C000101 C000033 C000165 C000082 C000139 C000189 C000065 C000162 C000079 C000175 C000011 C000021 C000017 C000090 C000067 C000091 C000147 C000148 C000121 C000086 ポスターP30-P54 C000150 C000170 C000178 C000183 C000023 C000062 C000048 C000108 C000109 C000063 C000134 C000171 C000089 C000174 C000190 C000179 C000038 C000083 C000057 C000176 C000015 C000075 C000081 C000181 C000133