Authentication in Web 3.0 faces a structural conflict. Systems that offer full anonymity leave no lawful way to identify a malicious actor. Systems built for accountability expose a persistent wallet address to blockchain-graph analysis, or fall back on centralized key recovery. Existing designs solve one side of this conflict at the cost of the other. This paper presents PEUAP-W3, a Privacy-Enhanced and User-centric Authentication Protocol. Its contribution is the integration of five established components into a single deployed and formally analyzed system. A Circom 2 circuit of 1579 Groth16 constraints proves four facts in a single 192-byte on-chain proof: knowledge of an opening of the session credential commitment, an SpO₂ value inside an 85–100% band, single-use nonce binding, and HMAC integrity. Shamir (k = 2, n = 3) sharing distributes the identity payload across three independent relays. The coordinator reconstructs an identity only after a threshold vote has been recorded on chain. Credentials are issued as W3C Verifiable Credentials 2.0 in did:key form. Four Solidity contracts verify the proof on Ethereum Sepolia. Verification costs about 241,000 gas and takes roughly 3 ms. ProVerif and Scyther find no attack under the Dolev–Yao model. A concurrency sweep to 500 simultaneous requests completes 1191 requests with zero failures at about 15.4 requests per second. A behavioral gate screens commodity abuse as a supplementary control; it is not treated as a security boundary. Against a nine-property framework, PEUAP-W3 satisfies six properties. Three remain conditional and are not verified in the current deployment: biological-origin assurance and digital replay prevention, both of which need an attested sensor; and GDPR erasure equivalence. Here, formally verified refers to the protocol models and theorems, not to the complete deployed software.

Virtual reality (VR) technology presents the potential of transforming science education. Chemistry education, in particular, has traditionally been limited by the safety, infrastructure, and cost of chemistry laboratories, as well as the inability of traditional methods to visualize microscopic phenomena within chemistry. While there are various virtual reality systems that have been published that describe the capabilities of performing individual functions within the virtual chemistry classroom (such as simulating chemistry experiments or visualizing molecules), few have incorporated the various components of an effective chemistry classroom within their software, and the literature offers no unifying architectural framework or accompanying set of design principles for integrating those components systematically. This paper presents a design framework and reference architecture for an immersive virtual reality smart chemistry laboratory. The framework has not yet been implemented as a software system; its value lies in a principle-driven design blueprint—layers, responsibilities, inter-layer data flows, and design rules—that is intended to guide future implementations. The framework divides the virtual chemistry classroom into five major layers and the data that flows between those layers. Each layer has a relationship with other theories of learning, such as constructivism, experiential learning theory, and cognitive load theory, as well as a rule-based system for providing guidance to the user to enhance their learning of chemistry topics. The intelligence of the framework is deliberately staged: its core is a rule-based, explainable expert system that is implementable with current technology, while AI and generative-AI capabilities are positioned as optional future augmentations of specific layers. Additionally, a model for governing the data collected from the virtual chemistry laboratory is presented. Both existing literature and case studies of third-party virtual reality systems are reviewed to indicate the capabilities of each of these systems; these systems are not the implementations of the current framework. As a result, the virtual reality chemistry classroom can enhance engagement in chemistry concepts and topics, allow for accessibility to chemistry concepts, and reduce the potential for chemical exposure to students. The scalable design framework and reference architecture described in this paper can be used to guide the development of next-generation virtual chemistry classrooms. Future efforts in regard to this technology would focus upon actually implementing the proposed framework, deploying it into chemistry classrooms, and evaluating the learning of students who utilize the learning environment.