Results 141 to 150 of about 1,318,770 (301)

Light‐Gated Control of Brownian Rotation by a Molecular Motor

Angewandte Chemie, EarlyView.
A light‐driven molecular motor acts as a reversible steric gate for a nearby Brownian rotor. Photoisomerization switches the rotor between fast and hindered rotational regimes by modulating steric congestion around the rotational axis. The motor–rotor architecture enables a five‐order‐of‐magnitude difference in the rotational barrier, demonstrating ...
Lukáš Severa, Kateřina Bezděková, Katarina Majerová Varga, Guillaume Bastien, Miroslav Stroka, Ivana Císařová, Martin Dračínský, Jiří Kaleta   +7 more
wiley   +2 more sources

THE INFLUENCE OF LIFE EXPECTANCY IN THE DETERMINATION OF PENSION FUND INVESTMENTS [PDF]

, 2014
Preparating one’s retirement is important for many people, because an employee will often have no salary anymore after retiring, but his/her daily needs are still remained.
Kristiani, Farah
core  

Evolution of Physical Intelligence Across Scales

Advanced Intelligent Discovery, EarlyView.
By following the evolution of physical intelligence across scales, this article shows how intelligence arises from materials, structures, physical interactions, and collectives. It establishes physical intelligence as the evolutionary foundation upon which embodied intelligence is built.
Ke Liu, Tianyun Huang, Aming Li, Pengyu Lv, Tingting Qin, Wenhui Chen, Hui Wei, Huiling Duan   +7 more
wiley   +1 more source

HOLOGRAPHY FOR ROTATING BLACK HOLES [PDF]

, 2014
Holographic principle and its realization in string theory through AdS/CFT correspondence has given us a new way to study the theory of quantum gravity. Shortly, holography in this context is understood as a duality between a gravitational theory in D+1 ...
M. Siahaan, Haryanto
core  

A Unifying Approach to Self‐Organizing Systems Interacting via Conservation Laws

Advanced Intelligent Discovery, EarlyView.
The article develops a unified way to model and analyze self‐organizing systems whose interactions are constrained by conservation laws. It represents physical/biological/engineered networks as graphs and builds projection operators (from incidence/cycle structure) that enforce those constraints and decompose network variables into constrained versus ...
F. Barrows, G. Zhang, S. Anand, Z. Chen, J. Lin, A. Desai, S. Martiniani, F. Caravelli   +7 more
wiley   +1 more source

DIALOG ILMU DAN IMAN: SUATU PENDEKATAN DAN CARA REALISASINYA [PDF]

, 2014
Awareness of development in science and its underlying scientic method, and its widening influence on society, reminds one of another strong influence, which is religion and its underlying faith.
Rusli, Aloysius
core  

Comparison of DeePMD, MTP, GAP, ACE and MACE Machine‐Learned Potentials for Radiation‐Damage Simulations: A User Perspective

Advanced Intelligent Discovery, EarlyView.
The authors evaluated six machine‐learned interatomic potentials for simulating threshold displacement energies and tritium diffusion in LiAlO2 essential for tritium production. Trained on the same density functional theory data and benchmarked against traditional models for accuracy, stability, displacement energies, and cost, Moment Tensor Potential ...
Ankit Roy, Ram Devanathan, Sarah Allec, Giridhar Nandipati, Andrew M. Casella, David J. Senor, Duane D. Johnson, Ganesh Balasubramanian, Ayoub Soulami   +8 more
wiley   +1 more source

Potential energy landscape formalism for quantum molecular liquids

Communications Chemistry
The potential energy landscape (PEL) formalism is a powerful tool within statistical mechanics to study the thermodynamic properties of classical low-temperature liquids and glasses.
Ali Eltareb, Yang Zhou, Gustavo E. Lopez, Nicolas Giovambattista   +3 more
doaj   +1 more source

AI‐Guided Co‐Optimization of Advanced Field‐Effect Transistors: Bridging Material, Device, and Fabrication Design

Advanced Intelligent Discovery, EarlyView.
This article outlines how artificial intelligence could reshape the design of next‐generation transistors as traditional scaling reaches its limits. It discusses emerging roles of machine learning across materials selection, device modeling, and fabrication processes, and highlights hierarchical reinforcement learning as a promising framework for ...
Shoubhanik Nath, Shauryaraj K. Jilkar, Aditya Udgaonkar, Yu (Joe) Lu, Ali Mesbah   +4 more
wiley   +1 more source

Smart Bioinspired Material‐Based Actuators: Current Challenges and Prospects

Advanced Intelligent Systems, Volume 7, Issue 3, March 2025.
This work gathers, in a review style, an extensive and comprehensive literature overview on the development of autonomous actuators based on synthetic materials, bringing together valuable knowledge from several studies. Furthermore, the article identifies the fundamental principles of actuation mechanisms and defines key parameters to address the size
Alejandro Palacios, Léon Chiriatti, Simon Poppinga, Thomas Speck, Vincent Le Houérou   +4 more
wiley   +1 more source