Sharif University of Technology

Unveiling giant Rashba splitting in graphene via in situ cryogenic copper adatom deposition and multimodal characterization

Enhancing spin–orbit interaction (SOI) in graphene is a critical step toward realizing graphene-based spintronic devices, yet it has remained experimentally challenging. In this work, we employ in situ cryogenic deposition of copper adatoms on graphene to overcome previous limita...

Explainable machine learning for shear capacity prediction of reinforced concrete deep beams

The shear capacity prediction of reinforced concrete (RC) deep beams remains a challenging issue in design of concrete structures. Although the code-based strut-and-tie method is widely accepted, it is often time-consuming for routine design applications, while existing empirical...

Sinuspiral Microchannel: A Novel Inertial Microfluidic Device for High-Efficiency Isolation of Circulating Tumor Cells

Abstract Effective separation of circulating tumor cells (CTCs) from white blood cells (WBCs) plays a vital role in enhancing cancer diagnosis, assessing treatment effectiveness, and promoting progress in personalized medicine development. Inertial microfluidic systems have recen...

Modeling Realistic Farmer Behavior in Heuristic-Based Irrigation Decisions with Fuzzy Logic

Abstract This study addresses the challenge of integrating complex human behavior into hydrological models by developing a behavioral simulation model (BSM) within a multiagent framework. Focusing on farmers’ response to water scarcity in Iran’s Lake Urmia basin, the BSM utilizes...

Gluing different gravitational models: f(R) case

Abstract This paper presents a comprehensive analysis of junction conditions for gluing different f ( R ) gravitational theories across a non-null hypersurface. Using the variational approach, we systematically derive the junction conditions for both general f ( R ) theories and...

A New Product Formula for $$(z;q)_\infty $$, with Applications to Asymptotics

Abstract We express the q -Pochhammer symbol $$(z;q)_\infty $$ ( z ; q ) ∞ as an infinite product of gamma functions, analogously to how Narukawa expressed the elliptic gamma function as an infinite product of hyperbolic gamma functions. This identity is used to obtain asymptotic...

Integrated monitoring models for dam health and safety: A review of methods and considerations

Dam safety and health monitoring are critical to ensuring the long-term reliability of water infrastructure, given the complex behavior of dams and the potentially severe consequences of failure. To evaluate current monitoring approaches, this study employs a structured literatur...

Fabrication and performance assessment of a new dry in-ear EEG sensor for brain monitoring

Bioelectrodes are commonly utilized for sensing electrical signals from the electrochemical activity of excitable cells, recording ionic currents from the body, and translating them into detectable electrical signals. Conventional scalp EEG electrodes, nonetheless, are subject to...

Natural Vacuum–Enhanced Air‐Gap Membrane Distillation (NV‐AGMD): A Proof‐Of‐Concept Experimental and Theoretical Study

ABSTRACT Desalination of saline water via air gap membrane distillation (AGMD) can be enhanced by reducing the air‐gap pressure. In this study, we present a proof‐of‐concept for a novel “natural vacuum–enhanced air gap membrane distillation” (NV‐AGMD) system in which the reductio...

Elucidating the true catalytic nature of first-row transition metal coordination compounds under oxygen-evolution conditions

The oxygen-evolution reaction (OER) is the kinetic bottleneck of electrochemical water splitting and, therefore, a central challenge in the development of sustainable hydrogen production technologies. First-row transition metal coordination compounds have attracted considerable a...

From Residence-Time Distribution and Population-Balance Modeling to Predictive Digital Twins of Industrial Ball Mills: A Comprehensive Critical Review and Evidence-Derived Research Framework

Ball mills remain among the most energy-intensive and operationally complex units in mineral-processing circuits, while many existing monitoring and modeling approaches address only isolated aspects of their behavior. This critical review examines the scientific foundations requi...

From Residence-Time Distribution and Population-Balance Modeling to Predictive Digital Twins of Industrial Ball Mills: A Comprehensive Critical Review and Evidence-Derived Research Framework

Ball mills remain among the most energy-intensive and operationally complex units in mineral-processing circuits, while many existing monitoring and modeling approaches address only isolated aspects of their behavior. This critical review examines the scientific foundations requi...

Enhanced electro-osmotic microfluidic mixing in an obstacle-embedded converging–diverging channel

This work presents an electro-osmotic micromixer that contains an obstacle-embedded converging-diverging channel for the purpose of enhancing fluid mixing at the microscale. Based on the finite element method, a two-dimensional transient model for Alternating current (AC) electro...

CuFe Bimetallic Electrocatalyst for Low-Voltage Formaldehyde-Assisted Dual Hydrogen Production

Abstract An effective strategy to lower the operating voltage and system cost of water electrolysis for green hydrogen production is to couple the hydrogen evolution reaction with a kinetically facile oxidation reaction instead of the oxygen evolution reaction. Formaldehyde oxida...

Ligament-dependent joint gap behavior reveals limitations of gap-based tissue balancing in total knee arthroplasty

Soft tissue balancing is a key determinant of stability in total knee arthroplasty (TKA), yet the biomechanical interpretation of intraoperative gap assessment remains unclear. This study developed a subject-specific finite element model of a TKA knee to evaluate how collateral l...

Artificial intelligence framework for predicting inclined magneto-bioconvective Ellis penta-hybrid nanofluid flow over a stretching cylinder with gyrotactic microorganisms: A Levenberg–Marquardt approach

This study aims to develop data-driven framework for predicting the magneto-bioconvective transport characteristics of an Ellis penta-hybrid nanofluid over a stretching boundary, with particular emphasis on rheological behavior, Brownian diffusion, thermophoresis, and gyrotactic...

Inorganic hole-transport layer engineering for high-efficiency Mg2Mn3O8 solar cells: a multiphysics simulation study

Abstract We carry out a comprehensive numerical investigation to evaluate the influence of various hole transport layers (HTLs) on the performance of FTO/TiO 2 /Mg 2 Mn 3 O 8 /HTL/Ag solar cells. Five HTLs, PEDOT:PSS, P3HT, Spiro-OMeTAD, Cu 2 O, and MoO 3 , were examined through...

Exploring the Intersection of Cognitive Load Theory, Cognitive Sciences, and Neuroscience in Construction Safety: A Systematic Literature Review and a Conceptual Framework

Abstract The construction industry faces high injury and fatality rates due to human errors from cognitive overload, attention deficits, and stress. This review synthesizes the intersection of cognitive load theory (CLT), the cognitive sciences (CS), and neuroscience to enhance s...

Localized brain delivery of drugs via focused ultrasound-responsive bi-layer nanobubbles

Focused ultrasound (FUS) in combination with micro- or nanobubbles is a promising strategy for transiently and non-invasively opening the blood-brain barrier (BBB) to enable targeted drug delivery to the brain. Here, we report a FUS-responsive delivery system using bi-layer nanob...

AI-driven design and electrothermal actuation of 4D-Printed carbon fiber-reinforced composites

This study presents a data-driven framework for the design, prediction, and optimization of electrothermally actuated composite structures based on continuous carbon-fiber reinforced shape memory polymers (CCF-SMPs). A Multiphysics model was developed and calibrated against exper...