Results 151 to 160 of about 389,766 (311)

Formalizing the safety of Java, the Java virtual machine, and Java card [PDF]

, 2001
Pieter Hartel, Luc Moreau
openalex   +1 more source

Synergistic Machine Learning Guided Discovery of ABa3(BSe3)2X (A = Rb, Cs; X = Cl, Br, I): A Promising Family as Property‐Balanced IR Functional Materials

Advanced Science, EarlyView.
A synergistic framework for interpretable ML‐assisted target discovery of selenoborates is developed. ABa3(BSe3)2X (A = Rb, Cs; X = Cl, Br, I) are successfully predicted and synthesized, exhibiting significant potential to be promising IR functional materials. This work promotes the cooperation of ML technology and materials science.
Yihan Yun, Mengfan Wu, Zhihua Yang, Guangmao Li, Shilie Pan   +4 more
wiley   +1 more source

Replicating PET Hydrolytic Activity by Positioning Active Sites with Smaller Synthetic Protein Scaffolds

Advanced Science, EarlyView.
A workflow is proposed for the computational design of new‐to‐nature PET hydrolases by remodeling the protein scaffold. Starting from the functional motifs extracted from a template enzyme, designer enzymes are generated following four steps: scaffold remodeling, computational screening, experimental validation, and sequence refinement.
Yujing Ding, Shanshan Zhang, Xian Kong, Henry Hess, Yifei Zhang   +4 more
wiley   +1 more source

Pushing the Frontiers: Artificial Intelligence (AI)‐Guided Programmable Concepts in Binary Self‐Assembly of Colloidal Nanoparticles

Advanced Science, EarlyView.
Colloidal nanoparticles self‐assembly advances towards intelligent, customized assembly through precise control of binary co‐assemblies. This review explores the evolution from monolithic to binary assemblies, highlighting how the AI‐guided programmable assembly approach has the potential to shift from passive assembly to active intelligent design.
Cancan Li, Lindong Ma, Zhenjie Xue, Xiao Li, Shan Zhu, Tie Wang   +5 more
wiley   +1 more source

Knowledge Distillation for Molecular Property Prediction: A Scalability Analysis

Advanced Science, EarlyView.
This study explores the effectiveness of knowledge distillation (KD) for molecular property prediction using graph neural networks. By leveraging KD, student models achieve improved scalability and predictive accuracy across domain‐specific and cross‐domain molecular datasets.
Rahul Sheshanarayana, Fengqi You
wiley   +1 more source

Optimizing indirect branch prediction accuracy in virtual machine interpreters [PDF]

, 2003
M. Anton Ertl, David Gregg
openalex   +2 more sources

Software-Defined Vehicular Cloud Networks: Architecture, Applications and Virtual Machine Migration. [PDF]

Sensors (Basel), 2020
Nkenyereye L, Nkenyereye L, Tama BA, Reddy AG, Song J.   +4 more
europepmc   +1 more source

Garbage collection and local variable type-precision and liveness in Java virtual machines

, 1998
Ole Agesen, David Detlefs, J. Eliot B. Moss   +2 more
openalex   +1 more source

Hardware/software co-design of a Java virtual machine [PDF]

, 2002
Kenneth B. Kent, M. Serra
openalex   +1 more source

Bioinspired Liquid‐Free Ion‐Conductive Elastomers with Ultrahigh Mechanical Strength and Excellent Ionic Conductivity for Multifunctional Flexible Sensing Applications

Advanced Science, EarlyView.
⁻Inspired by the “brick wall” structure of pearl layer, FLICE‐110% liquid‐free ionic conductive elastomer had high mechanical strength (5.46 MPa), excellent ionic conductivity (3.29 × 10−4 S cm−1) and resilience. It can be used in smart music boxes, airplane wings and control manipulators.
Zequan Li, Jingjing Tang, Xuwei Wang, Fuqi Wang, Fangyan Ou, Wenyu Pan, Changsheng Wang, Ting Xie, Chuang Ning, Xiwei Xu, Jiamin Liu, Qihua Liang, Wei Gao, Shuangliang Zhao   +13 more
wiley   +1 more source