Results 31 to 40 of about 186,001 (296)

PASTA‐ELN: Simplifying Research Data Management for Experimental Materials Science

Advanced Engineering Materials, EarlyView.
Research data management faces ongoing hurdles as many ELNs remain complex and restrictive. PASTA‐ELN offers an open‐source, cross‐platform solution that prioritizes simplicity, offline access, and user control. Its in tuitive folder structure, modular Python add‐ons, and open formats enable seamless documentation, FAIR data practices, and easy ...
S. Brinckmann, G. Winkens, R. Schwaiger
wiley   +1 more source

Imaginer avec ChatGPT : autour de la Muraille de Chine

Interfaces Numériques
Entre le 18 et le 20 janvier 2024, l’écrivaine Milène Tournier fait paraître sur sa page Facebook une série de posts qui reproduisent l’expérience d’écriture qu’elle mène simultanément avec ChatGPT 3.5. « Bonjour.
Marine RIGUET
doaj   +1 more source

Semi-classical Probe Strings on Giant Gravitons Backgrounds

, 2005
In the first part of this paper we study two $Z_2$ symmetries of the LLM metric, both of which exchange black and white regions. One of them which can be interpreted as the particle-hole symmetry is the symmetry of the whole supergravity solution while ...
A. Buchel, A. Ghodsi, A.A. Tseytlin, Batool Safarzadeh, D. Berenstein, D. Berenstein, E. Witten, G. Mandal, G. Milanesi, H. Ebrahim, H. Lin, Hajar Ebrahim, J. Dai, J. Figueroa-O'Farrill, J.M. Maldacena, J.P. Gauntlett, J.P. Gauntlett, L. Grant, L. Maoz, M. Boni, M.M. Caldarelli, M.M. Caldarelli, M.M. Sheikh-Jabbari, M.M. Sheikh-Jabbari, Mohammad M Sheikh-Jabbari, Mohsen Alishahiha, N.V. Suryanarayana, P. Horava, P.G. Shepard, P.J. Silva, R. de Mello Koch, R.C. Myers, S. Corley, S. Frolov, V. Balasubramanian, Y. Takayama   +35 more
core   +3 more sources

Unleashing the Power of Machine Learning in Nanomedicine Formulation Development

Advanced Functional Materials, EarlyView.
A random forest machine learning model is able to make predictions on nanoparticle attributes of different nanomedicines (i.e. lipid nanoparticles, liposomes, or PLGA nanoparticles) based on microfluidic formulation parameters. Machine learning models are based on a database of nanoparticle formulations, and models are able to generate unique solutions
Thomas L. Moore, Cristiano Pesce, Antonietta Greco, Claudia Pisante, Greta Avancini, Valentina Di Francesco, Yosi Shamay, Paolo Decuzzi   +7 more
wiley   +1 more source

Gravity from Entanglement and RG Flow in a Top-down Approach

, 2018
The duality between a $d$-dimensional conformal field theory with relevant deformation and a gravity theory on an asymptotically AdS$_{d+1}$ geometry, has become a suitable tool in the investigation of the emergence of gravity from quantum entanglement ...
Jang, Dongmin, Kim, Yoonbai, Kwon, O-Kab, Tolla, D. D.   +3 more
core   +1 more source

Fast 2D-DCT implementations for VLIW processors [PDF]

, 1999
This paper analyzes various fast 2D-DCT algorithms regarding their suitability for VLIW processors. Operations for truncation or rounding which are usually neglected in proposals for fast algorithms have also been taken into consideration.
Bull, DR, Canagarajah, CN, Sohm, OP
core   +3 more sources

Engineering Strategies for Stable and Long‐Life Alkaline Zinc‐Based Flow Batteries

Advanced Functional Materials, EarlyView.
Alkaline zinc‐based flow batteries face persistent challenges from unstable zinc deposition, including dendrite growth, passivation, corrosion, and hydrogen evolution, which severely limit cycling stability. Current research addresses these issues through coordinated electrode structuring, electrolyte regulation, and membrane design to control zinc ...
Yuran Bai, Xiaoyu Huo, Xin Long, Enkang Fu, Xusong Gong, Lei Wei, Liang An   +6 more
wiley   +1 more source

LLM Unlearning with LLM Beliefs

Large language models trained on vast corpora inherently risk memorizing sensitive or harmful content, which may later resurface in their outputs. Prevailing unlearning methods generally rely on gradient ascent and its variants to lower the probability of specific target responses.
Li, Kemou, Wang, Qizhou, Wang, Yue, Li, Fengpeng, Liu, Jun, Han, Bo, Zhou, Jiantao   +6 more
openaire   +2 more sources

Various spin-polarization states beyond the maximum-density droplet: a quantum Monte Carlo study [PDF]

, 2001
Using variational quantum Monte Carlo method, the effect of Landau-level mixing on the lowest-energy--state diagram of small quantum dots is studied in the magnetic field range where the density of magnetic flux quanta just exceeds the density of ...
A. Harju, A. Harju, A. Harju, A.H. MacDonald, D.C. Tsui, K.v. Klitzing, L.P. Kouwenhoven, M.A. Reed, N.A. Bruce, P. Hyvönen, P.M. Petroff, R. Jastrow, R. M. Nieminen, R.B. Laughlin, R.C. Ashoori, S. Siljamäki, S. Siljamäki, S.M. Reimann, T. Kato, T.H. Oosterkamp, V. A. Sverdlov, V. Fock, W.M.C. Foulkes, X. Lin   +23 more
core   +1 more source

Single‐ and Dual‐Atom Configurations in Atomically Dispersed Catalysts for Lithium–Sulfur Batteries

Advanced Functional Materials, EarlyView.
Single‐atom and dual‐atom‐based atomically dispersed catalysts (ADCs) effectively address the shuttle effect and sluggish redox kinetics in Li–S batteries. With nearly 100% atomic utilization and tunable coordination environments, ADCs enhance LiPSs adsorption, lower conversion barriers, and accelerate sulfur redox reactions.
Haoyang Xu, Zhenfeng Li, Yue Fei, Ali Mohammadi, Ge Li   +4 more
wiley   +1 more source