Scientific Resource Catalog
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This paper explores the concept of computational plasticity, focusing on the development and analysis of algorithms designed to mimic and potentially surpass the adaptive capabilities observed in biological systems. The core premise is that complex adaptive behaviors, particularly those associated…
Research article: Multimodal AI in Scientific Discovery: 2025 Benchmarks in Drug Discovery and Materials Science (Draft)
Background: Green synthesis of metal nanoparticles using plant extracts has gained considerable attention due to its eco-friendly nature, cost effectiveness, and enhanced biocompatibility. Copper nanoparticles exhibit promising antimicrobial and physicochemical properties, making them suitable for…
This work introduces a Physics-Informed Neural Network (PINN) framework tailored for solving the Schrödinger equation in quantum mechanical systems. By incorporating the fundamental physical laws governed by the Schrödinger equation directly into the loss function, the model accurately predicts qua…
The concept of symmetry has long served as a cornerstone in the formulation of physical laws and mathematical structures. Classical symmetry refers to transformations that leave a system's observable configuration unchanged. In this work we introduce a complementary notion, which we call deep symme…
Abstract High sensitivity powder X-ray diffraction has been employed to investigate the room temperature oxidation of a series of noble metals supported on an amorphous silica, using a recently developed Rietveld analysis for ultrasmall (<2 nm) supported nanoparticles. It is found that Pt, Pd, Ir,…
AbstractSimulating electronic transport properties and scattering networks within continuous condensed matter physicspresents an intractable computational barrier due to the factorial scaling of infinite continuum path permutations.This paper introduces a unified framework that utilizes Ewin Tang’s…
Abstract Room-temperature mid- and far-infrared photodetectors are critical for next-generation sensing and communication, yet their development is severely hindered by the prohibitive cooling requirements of conventional state-of-the-art materials and the restricted 1200 nm cut-off wavelength of e…
We report asymmetric kinetics in thermally driven metal-insulator transitions (MITs) in 1T-TaS$_2$. Using combined transport, calorimetric, and Raman measurements, we show that the transition proceeds via burst-like avalanches during cooling, while remaining continuous during heating. Although bulk…
Background: Green synthesis of metal nanoparticles using plant extracts has gained considerable attention due to its eco-friendly nature, cost effectiveness, and enhanced biocompatibility. Copper nanoparticles exhibit promising antimicrobial and physicochemical properties, making them suitable for…
Exciton condensates provide a platform to study quasiparticle pairing, Bose-Einstein condensation-Bardeen-Cooper-Schrieffer (BEC-BCS) crossover, and excitonic topological phenomena. Achieving a nonequilibrium exciton condensate allows the ultimate tunability of these emergent phenomena. Yet, eviden…
Whether a quantum system with a double-well effective potential undergoes spontaneous symmetry breaking depends not only on the potential landscape but also on the kinetics and the coupling with additional degrees of freedom. Here we introduce a quasi-exactly solvable model to study this problem in…
Large language models generate fluent text by collapsing a high-dimensional representation onto a next-token distribution. That collapse is computationally convenient and theoretically dangerous. If one treats the residual set of linguistically compatible worlds as an uncollapsed phase space - the…
Heterogeneous interfaces underpin technologies from microelectronics to energy conversion and storage, but their configurational complexity precludes exhaustive first-principles screening of interface registries. Although data-driven approaches can alleviate this burden, they remain limited by spar…
This paper provides a novel reinterpretation of the inherent imbalance between additive and multiplicative structureswithin the ABC Conjecture (Oesterl´e–Masser Conjecture) through the lens of 2-Dimensional Square Symmetry. We proposethat the continuous scale transformation via the “Theta-link” (Θ-…
This paper explores the fundamental question of how much historical information is necessary for accurate prediction. We investigate whether predicting future states solely based on the current state [P(x_t)] is sufficient, or if incorporating past states [P(x_t, x_{t-1}, ..., x_0)] is required. We…
In this study we have performed first principle calculations to study the electronic and its resulting thermoelectric properties of SnSb alloy within the framework of density functional theory (DFT). Generalized Gradient Approximation (GGA) is employed to model the exchange and correlation of KohnS…
Cerium oxide (CeO 2 ) nanoparticles synthesized through a co-precipitation route were characterized by X-ray powder diffraction (XRD), where peak broadening analysis was employed to estimate crystallite size, microstrain, stress, and deformation energy density. The Williamson-Hall (W-H) and Scherre…
This paper investigates the algorithmic prediction of phase transitions, focusing on a simplified model where resource availability dictates the likelihood of a phase transition occurring. We posit a scenario where a resource, denoted as *r*, is available, and a probability *P(r)* represents the li…
Abstract Proton-conducting reversible solid oxide cells (P-RSOCs) are emerging as a transformative platform for efficient and flexible conversion between electricity and chemical fuels, including hydrogen and syngas. Their intermediate-temperature operation (400–600 °C) offers a compelling combinat…