Results 221 to 230 of about 63,462 (307)

Physics‐Informed Machine Learning for Sustainable Alloy Design: Toward a Recyclable Unified Q&P Steel

Advanced Science, EarlyView.
A physics‐informed property‐bridging framework links high‐throughput hardness screening to tensile performance in quenching and partitioning steels. By transferring metallurgically guided representations across properties, a single alloy composition is designed to achieve multiple strength grades through heat‐treatment tuning alone, offering a ...
Xiaolu Wei, Yong Li, Chenchong Wang, Lingyu Wang, Xiang Song, Keming Mao, Yu Zhang, Wei Xu   +7 more
wiley   +1 more source

Adaptive Disorder as the Hallmark of Nanobodies Antigen-Binding Loops. [PDF]

J Chem Inf Model
Bagordo D, Trèves G, Santorsola M, Colombo G, Lescai F.   +4 more
europepmc   +1 more source

Multifaceted Roles of Tantalum in Promoting the Thermoelectric Performance of Mg3(Sb,Bi)2 Based Materials

Advanced Science, EarlyView.
A multifunctional tantalum incorporation strategy enables simultaneous tuning of carrier concentration, mitigation of grain‐boundary scattering, and enhanced phonon scattering in Mg3(Sb,Bi)2. These synergistic effects markedly improve carrier mobility and suppress lattice thermal conductivity, yielding both high material zT and high module conversion ...
Guangmeng You, Jingdan Lei, Kai Xu, Yuntian Fu, Xueke Gu, Chengxiao Peng, Zhen Wang, Jing Chen, Kunpeng Zhao, Chao Wang   +9 more
wiley   +1 more source

A Chatbot to Meet Parents' Information Needs for Sickle Cell Trait Newborn Screening Results: Multiple Methods Formative Study. [PDF]

J Med Internet Res
Madeo AC, Gauchel C, Borsato E, Gaviglio A, Kaphingst KA, Del Fiol G, Eilbeck K.   +6 more
europepmc   +1 more source

PlantGFM: A Genomic Foundation Model for Discovery and Creation of Plant Genes

Advanced Science, EarlyView.
A plant genomic foundation model pre‐trained on 12 species enables both accurate gene prediction and de novo gene design. Through AI‐human knowledge screening, seven designed sequences showed transcriptional activity in plants, with two expressing stable proteins—demonstrating the first DNA‐RNA‐protein expression of LLM‐generated genes in plants and ...
Changhao Li, Qizhe Zhang, Hanchen Chen, Kepeng Lin, Chengfang Luo, Mengying Yang, Wei Xu, Fan Yao, Jianbing Yan, Qing‐Yong Yang, Xuehai Hu   +10 more
wiley   +1 more source

A Systematic Process to Accurately Link Large-Scale Research Consents to State Public Health Newborn Screening Samples. [PDF]

Int J Neonatal Screen
Cheves E, Frawley HE, Gwaltney AY, Forsythe AN, Scott S, Mathews JC, Dibble J, Reeve T, Bakalov V, Dass M, Cope HL, Scharfe C, Peay H.   +12 more
europepmc   +1 more source

Hierarchical Twin Networks Enable Exceptional Strength and Fracture Toughness in Titanium

Advanced Science, EarlyView.
A commercial‐purity titanium with hierarchical ultrafine twin structures delivers an exceptional combination of fracture toughness (KJIc) of 187 MPa·m1/2 and specific yield strength of 140 MPa·cm3·g−1, in which pre‐engineered high‐density twin boundaries stimulate massive and dislocations to blunt crack tip.
Xiao‐Wei Zou, Ting Zhu, En Ma, Wei‐Zhong Han   +3 more
wiley   +1 more source

Synthetic study of <i>vic</i>-bromination of diarylacetylenes, easy purification and separation. [PDF]

Beilstein J Org Chem
Togo A, Suzuki H, Akai Y, Matsumoto M, Suzuma Y, Kodama H, Matsumoto K.   +6 more
europepmc   +1 more source

Interpretable Machine Learning Framework for Nb─Si Based Alloy Design with Enhanced Fracture Toughness

Advanced Science, EarlyView.
An interpretable machine learning framework integrating SHAP and PDP analysis identifies critical design descriptors from 139 physicochemical features for Nb─Si alloys. The framework achieves <7% prediction error and guides the discovery of Nb38.5Ti38.5Si3Zr18V2 alloy with 22.791 MPa·m1/2 fracture toughness, breaking the 20 MPa·m1/2 barrier.
Dezhi Chen, Chao Xu, Jingyue Yu, Qi Wang, Hongze Fang, Shuo Yin, Turab Lookman, Ruirun Chen   +7 more
wiley   +1 more source

A Multi-Stakeholder Perspective on Integrating Genomic Sequencing into Newborn Screening: An Interview Study. [PDF]

Int J Neonatal Screen
Smits SG, Onstwedder SM, Rigter T, Rodenburg W, Henneman L.   +4 more
europepmc   +1 more source